2017

Transition of the various LODs in the virtual Paulinapolder. Green are the regular plant models, red are the billboards, blue is the terrain color map.
Benny Onrust, Rafael Bidarra, Robert Rooseboom, and Johan van de Koppel
Int J Comput Games Technol, 2017
Singularities of a 4-direction field. The fields have been constrained on the same 14 faces (uniformly sampled) for all methods, where the direction is constrained to be the projection of an horizontal vector.
Amir Vaxman, Marcel Campen, Olga Diamanti, David Bommes, Klaus Hildebrandt, et al.
In Proceedings of SIGGRAPH Courses, 2017
 Example of our stylized scattering. Left: physically correct single scattering using the original occluders. The leaves of the tree block most of the light, causing a rather subtle effect. Right: stylized scattering with occluder manipulation. Using our system, an artist can easily add holes into the shadow map of the tree, producing more pronounced scattering effects. While physically incorrect, it is not obvious for the viewer that the right image uses fake occlusion information. Surface shadows are created from the original shadow map.
Timothy R. Kol, Oliver Klehm, Hans-Peter Seidel, and Elmar Eisemann
IEEE Transactions on Visualization and Computer Graphics, 2017
The 95% confidence interval highlighted in green for the t-distribution with 4 degrees of freedom (N = 5, N = 3 and α = 0.05). The left most image shows the two-sided confidence interval, while the middle and right image show the one-sided confidence intervals. The areas highlighted in red fall outside the interval.
Niels de Hoon, Elmar Eisemann, and Anna Vilanova
In Proceedings of EuroRV³@EuroVis, 2017
We compare our method to conventional and gradient-domain path tracing in an equal-time comparison. Gradient-domain path reusing produces visually pleasant images with much less noise than path tracing and significantly lower artifacts than gradient-domain path tracing given the same time.
Pablo Bauszat, Victor Petitjean, and Elmar Eisemann
ACM Transactions on Graphics, 2017
: Three dODF-based glyphs for (a) an ensemble with gradually varying shape and orientation and two ensembles of linear tensors with crossing angle of (b) 60 ° and (c) 45 °, respectively. The variation threshold is set to 60% of the maximum variation. The ensembles are illustrated by the small black icons on top.
Changgong Zhang, Matthan Caan, Thomas Höllt, Elmar Eisemann, and Anna Vilanova
Computer Graphics Forum, 2017
Fur design on the bunny mesh. Left: constraints and resulting tangential vector field spline, right: output field visualized as fur on the bunny
Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, and Klaus Hildebrandt
Computer Graphics Forum, 2017
Schematic depiction of the steps of the patient-specific radiotherapy planning pipeline, employed in clinical research to create personalized, tumor-tailored radiotherapy plans.
Renata Georgia Raidou, Marcel Breeuwer, and Anna Vilanova
In Proceedings of Eurographics (Dirk Bartz Prize), 2017
. Stereo camera setup (left) and corresponding images (middle) for the computation of a 3D point cloud (patch). On the right the registration result for nine false-colored patches is shown.
Kai Lawonn, Erik Trostmann, Bernhard Preim, and Klaus Hildebrandt
IEEE Transactions on Visualization and Computer Graphics, 2017
Gene t-SNE maps are robust and reproducible across donors. (A) The combined gene t-SNE map, showing previously reported stable gene modules (23). The map separates the 32 modules and shows their relationships. (B) The gene maps for each of the six donor brains. The maps are made using independent data sets, so they reflect the robustness of spatial gene expression patterns in the human brain. Data was pre-processed as in the original publication (23) to enable direct comparison of the WGCNA modules to the gene t-SNE maps.
Sjoerd M.H. Huisman, Baldur van Lew, Ahmed Mahfouz, Nicola Pezzotti, Thomas Höllt, et al.
Nucleic Acids Res, 2017
Split-depth frames over time generated by our approach. Via an occlusion cue, split-depth images can induce a 3D effect
Jingtang Liao, Martin Eisemann, and Elmar Eisemann
Computer Graphics Forum, 2017
: (Top) Virtual environment set-up for static scenario as seen by participants. (Bottom) Insets of exemplary stimulus on the 3rd right sphere, shown for white (left) and black (right) interpolation (effect exaggerated for depiction).
Steve Grogorick, Michael Stengel, Elmar Eisemann, and Marcus Magnor
In Proceedings of SAP, 2017
Cloud reflection for a flood in the city of Rotterdam due to a hypothetical scenario of heavy rainfall (100 mm/h)
Johannes G. Leskens, Christian Kehl, Tim Tutenel, Timothy R. Kol, Gerwin de Haan, et al.
Mitig Adapt Strateg Glob Chang, 2017
Left: An example of the reconstruction result of the OR using probabilistic tractography from an axial view. As inserts, close-ups are shown of the anterior tips of the reconstructions of the OR from a coronal view. Right: The tracking results are shown for the same volunteer in a composite image along with other brain structures such as the ventricular system. The ML-TP distance measurement is indicated.
Stephan Meesters, P.P.W. Ossenblok, L. Wagner, Olaf Schijns, Paul Boon, et al.
J Neurosci Methods, 2017
Analysis of the CD4+ T-cell compartment in inflammatory intestinal diseases. a Third HSNE level embedding of the CD4+ T cells (1.4 × 106 cells, selected in Fig. 3). Color and size of landmarks as described in Fig. 3. Right panel shows density features for the level 3 embedding. Blue encirclement indicates selection of landmarks representing CD28−CD4+ T cells. b Embedding of the CD28−CD4+ T cells (2.6 × 104 cells) at single-cell resolution. Bottom-left panel shows yellow and black dashed encirclements based on CD56− and CD56+ expression, respectively. Three bottom-right panels show cells colored according to: (left) from subjects with different disease status (CeD, Crohn, EATLII, RCDII, and controls), (middle) sampling status (annotated subset, discarded by ACCENSE and downsampled) and (right) tissue-of-origin (blood and intestine)
Vincent van Unen, Thomas Höllt, Nicola Pezzotti, Na Li, Marcel Reinders, et al.
Nat Commun, 2017
Rodrigo Baravalle, Leonardo Scandolo, Claudio Delrieux, Cristian García Bauza, and Elmar Eisemann
Comput Animat Virtual Worlds, 2017
White Matter and Gray Matter in the Human Brain
Lucia Fonseca, C. van Pul, Nicolas Lori, R. van den Boom, P. Andriessen, et al.
In Proceedings of Modeling, Analysis, and Visualization of Anisotropy, 2017
Occlusion-aware cutaway generation. From left to right: User-drawn curve, selected region (shaded green), cutout revealing interior, final illustration using consecutive cutaways.
Mohamed Radwan, Stefan Ohrhallinger, Elmar Eisemann, and Michael Wimmer
In Proceedings of Graphics Interface, 2017
De testopstelling (merk op de speciale + en – knoppen, groot en klein voor zoomen).
Radan Suba, Mattijs Driel, Martijn Meijers, Peter van Oosterom, and Elmar Eisemann
Geo-Info, 2017
Elisabeth Andre, Sander CJ Bakkes, Rafael Bidarra, Steve Dahlskog, Mirjam P Eladhari, et al.
Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471), 2017